• Deepshikha Janak Nandgaye
• Prof.Ahmed Sajjad Khan

Abstract: Image processing is a method to convert an image into a digital form and perform some operations on it in order to get an enhanced image or to extract some useful information from image processing also involves medical image processing which is a highly challenging field. Medical imaging techniques are used to image the inner portion of the human body for medical diagnosis. Brain tumor is a serious life altering disease condition. Image segmentation plays a significant role in image processing as it helps in the extraction of suspicious regions from the medical images. In this paper segmentation of brain MRI image is proposed using K-mean clustering algorithm followed by morphological filtering which avoids the misclustered regions that can inevitably be formed after segmentation of the brain MRI image for detection of tumor location.

Image Segmentation,MRI,K-mean clustering,Morphological filtering

"Brain Tumor MRI Image Segmentation and Detection in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.560-564, April-2019, Available :http://www.jetir.org/papers/JETIR1904383.pdf

"Brain Tumor MRI Image Segmentation and Detection in Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp560-564, April-2019, Available at : http://www.jetir.org/papers/JETIR1904383.pdf